Integration of remote sensing data with ground observations for climate and droughts monitoring
Start Date:
Nov. 1, 2025
Region:
Africa, Americas, Asia & Oceania, Europe
Description:
This 5-day course introduces the use of remote sensing (RS) data for drought monitoring, with a strong emphasis on practical applications. The course will address key concepts, data types, and analytical methods, and will implement a sample project. The course is designed for meteorology experts and researchers in climate, drought, and meteorological studies. Basic computer and programming knowledge is required. The Course Plan includes: 1) Introduction to Remote Sensing – Elements of RS, Remote sensing characteristics. 2) Remote Sensing Data Types – Introduction to some commonly used RS Data, Working with some sample data. 3) Applications in Climate and Drought – Review of sample studies. 4) In-situ Data – Importance of terrestrial data in complementing remote sensing data, comparison between terrestrial and remote sensing data. 5) RS Indices – RS indices, Calculation of RS Indices, Working with sample data. 6) Image Analysis – Image time series, Image analysis for drought monitoring, Working with sample data.
For more information and instructions to apply to attend the course, please contact the WMO RTC in Tehran at teh.rtc.reg@gmail.com
Targeted Audience:
Meteorological Research Expert, Meteorological Forecaster
Host:
World Meteorological Organization (WMO) Regional Training Center (RTC) in Tehran / (IRIMO)
Organizer:
World Meteorological Organization (WMO) Regional Training Center (RTC) in Tehran / (IRIMO)
